Takings from accommodation rose by 3.9% to $2,620.3 million in June 2016. This followed increases of 4.0% in March 2016, 3.9% in December 2015 and 5.0% in September 2015.

Room occupancy rates rose by 1.6 percentage points to 66.7% in June 2016. This followed increases of 1.5 percentage points in March 2016, 0.8 percentage points in December 2015 and 1.4 percentage points in September 2015.

PROPERTY MANAGEMENT SYSTEMS (PMS)

The use of Property Management Systems (PMS) by accommodation establishments is shown in the table below. Nationally, 84.1% of accommodation establishments who responded to the collection indicated they used a PMS in the operation of their business during 2015-16.

State

Accommodation establishments using a PMS (%) 1

New South Wales

82.0

Victoria

82.6

Queensland

89.6

South Australia

81.4

Western Australia

77.4

Tasmania

86.0

Northern Territory

85.2

Australia Capital Territory

93.9.

Australia

84.1

1 Proportion of accommodation establishments who responded to the collection.

IMPACT OF DUPLICATE ESTABLISHMENTS IN 2014-15

The Survey of Tourist Accommodation (STA) is a census of all in-scope accommodation establishments with 15 or more rooms. In 2014-15, STA frame maintenance procedures resulted in the identification and subsequent addition of 279 new establishments to the STA beginning with the September quarter 2014.

During processing of 2015-16 STA data, it became clear that 40 accommodation establishments added in 2014-15 were duplicates of establishments already on the frame. As a consequence, the 2014-15 STA data was overstated. Due to offsetting impacts with new establishments and changes to existing establishments since 2014-15, the duplicates have no significant impact on the trend and seasonally adjusted series. As a consequence there is no break in series between 2014-15 and 2015-16 for the seasonally adjusted and trend estimates included in this publication.

However, in comparing estimates in original terms, it is recommended users read the Technical note included in this release for interpreting the movements in the data between 2014-15 and 2015-16.

Where appropriate, the effect of the duplicates is removed from the estimates in the analysis above.